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  1. From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. Locally Private Causal Inference for Randomized Experiments

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Estimating Network-Mediated Causal Effects via Principal Components Network Regression

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Selective Inference with Distributed Data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. An Axiomatic Definition of Hierarchical Clustering

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Test-Time Training on Video Streams

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Efficiently Escaping Saddle Points in Bilevel Optimization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. Global research trends and thematic evolution in humanoid robotics: a scientometric and text mining study

    Published in Discover AI (2026)
    Subjects: “…— — — — — Access Artificial Intelligence and Machine Learning…”
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  14. A new hybrid physics-guided AI algorithm for water quality prediction supported by variable coefficients advection-diffusion model

    Published in Discover AI (2026)
    Subjects: “…— — — — — Access Artificial Intelligence and Machine Learning…”
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  15. Status applications and prospects of AI integration in maritime education implications for curriculum planning

    Published in Discover AI (2026)
    Subjects: “…— — — — — Access Artificial Intelligence and Machine Learning…”
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  16. Physics-informed and transferable explainable AI framework for reliable prediction of tunnel-induced settlement in coastal environments

    Published in Discover AI (2026)
    Subjects: “…— — — — — Access Artificial Intelligence and Machine Learning…”
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  17. Advancing the generation and integration of traditional motifs through AI-based techniques

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. Artificial intelligence in digital smile design: a review of technological innovations and clinical integration

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. Using AI large language models to assess dental history in systemic conditions

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Digital sales automation and buyer engagement: investigating the mediating role of perceived value in B2B exchanges

    Published in Discover AI (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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